Methods and Tools for the Development of Virtual Platforms for Motor Rehabilitation

Book cover Human-Automation Interaction pp 23–41Cite as Methods and Tools for the Development of Virtual Platforms for Motor Rehabilitation Download book PDF Download book EPUB Methods and Tools for the Development of Virtual Platforms for Motor Rehabilitation Andrea Vitali, Daniele Regazzoni & Caterina Rizzi Chapter First Online: 15 December 2022 132 Accesses Part of the Automation, Collaboration, & E-Services book series (ACES,volume 12) Abstract The chapter presents the design of virtual platforms based on maker-less motion capture systems to monitor the rehabilitation process of different categories of patients. The method starts from the requirements of the rehabilitation personnel and, according with patients’ needs, transforms them into novel ICT tools exploiting consumer technology. Three different patients’ conditions have been investigated: spinal cord injury, shoulder trauma or surgery and gait analysis of lower limb amputee. First, a virtual platform based on a marker-less motion capture (Mocap) system for the automated movements analysis of patients using a wheelchair is described. Then, the combined use of Mocap technology with Convolutional Neural Network to improve tracking capabilities is shown and, finally, an integrated solution to monitor and detect gait abnormalities of amputee wearing a lower limb prosthesis.